Question: ALTERNATIVE FORECASTING METHODS. Write MATLAB code to model the function using artificial neural networks. I want the complete method, what is the code, where should

ALTERNATIVE FORECASTING METHODS. Write MATLAB code to model the function using artificial neural networks.

I want the complete method, what is the code, where should I write it in Matlab, how do I call it and train it again

Implement some method of Neural Networks, used for when it has cyclical, stationary and trend characteristics. Apply each one of them to the data provided by the Smart Meter, to determine the Daily Load Profile for the year 2018 (attached data), with a time line for 24 hours = {, , ,, },

ALTERNATIVE FORECASTING METHODS. Write MATLAB

Monday Tuesday Wednesday Thursday Friday Saturday Sunday Average 0:00:00 1098 565 645 635 645 791 702 735,75 1:00:00 1153 571 690 609 651 707 660 746 2:00:00 1118 942 721 687 690 678 685 859,25 3:00:00 1111 1020 655 757 657 839 729 886,25 4:00:00 1134 1023 644 613 767 680 732 884,25 5:00:00 1124 1029 754 652 710 686 697 878,75 6:00:00 1142 1117 3086 2751 2550 705 738 1890 7:00:00 1148 3885 7107 6466 7461 734 682 4740 8:00:00 1104 7439 14905 14268 14934 11710 682 9436,25 9:00:00 1130 7863 16586 16308 17518 13925 658 10704,75 Maximum demand kW 2018 HOUR 10:00:00 11:00:00 12:00:00 1107 1104 1130 8187 8266 8204 17665 17517 17148 17451 17486 16947 18243 18054 17500 14295 14347 12946 730 739 690 11247 11227,5 10945,25 13:00:00 1076 8046 17573 17093 17338 767 725 10888,25 14:00:00 1131 8197 18001 17586 17767 680 673 11170,25 15:00:00 1113 7963 17634 17931 17356 748 662 16:00:00 1105 8296 17949 18483 17640 711 720 11381 17:00:00 1262 8143 17398 16894 16438 734 736 10684,25 18:00:00 2344 8499 17156 17250 17059 1754 1914 11288 19:00:00 2500 8035 16201 16303 16352 1852 1857 10797,5 20:00:00 2498 7707 15801 15386 15451 1931 1854 10260.5 21:00:00 2521 1573 3647 2832 2677 1929 1763 2400,75 22:00:00 23:00:00 1838 1619 801 613 1348 1182 1486 1219 1601 1212 1189 1187 1140 1189 1431,5 1165,75 DAYS 11090,75 Monday Tuesday Wednesday Thursday Friday Saturday Sunday Average 0:00:00 1098 565 645 635 645 791 702 735,75 1:00:00 1153 571 690 609 651 707 660 746 2:00:00 1118 942 721 687 690 678 685 859,25 3:00:00 1111 1020 655 757 657 839 729 886,25 4:00:00 1134 1023 644 613 767 680 732 884,25 5:00:00 1124 1029 754 652 710 686 697 878,75 6:00:00 1142 1117 3086 2751 2550 705 738 1890 7:00:00 1148 3885 7107 6466 7461 734 682 4740 8:00:00 1104 7439 14905 14268 14934 11710 682 9436,25 9:00:00 1130 7863 16586 16308 17518 13925 658 10704,75 Maximum demand kW 2018 HOUR 10:00:00 11:00:00 12:00:00 1107 1104 1130 8187 8266 8204 17665 17517 17148 17451 17486 16947 18243 18054 17500 14295 14347 12946 730 739 690 11247 11227,5 10945,25 13:00:00 1076 8046 17573 17093 17338 767 725 10888,25 14:00:00 1131 8197 18001 17586 17767 680 673 11170,25 15:00:00 1113 7963 17634 17931 17356 748 662 16:00:00 1105 8296 17949 18483 17640 711 720 11381 17:00:00 1262 8143 17398 16894 16438 734 736 10684,25 18:00:00 2344 8499 17156 17250 17059 1754 1914 11288 19:00:00 2500 8035 16201 16303 16352 1852 1857 10797,5 20:00:00 2498 7707 15801 15386 15451 1931 1854 10260.5 21:00:00 2521 1573 3647 2832 2677 1929 1763 2400,75 22:00:00 23:00:00 1838 1619 801 613 1348 1182 1486 1219 1601 1212 1189 1187 1140 1189 1431,5 1165,75 DAYS 11090,75

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